# TUMTraffic-VideoQA

From the catalogue. Listed by one researcher from one source page.

- id: `tumtraffic-videoqa`
- kind: language and reasoning annotation
- robot or device: roadside cameras (class: sensor only)
- how collected: infrastructure recording, QA annotation
- size as stated: 1,000 videos, 85,000 QA pairs
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2025
- organisation: TUM
- licence: not stated (class: not stated)
- access: open (class: open)
- link (paper): https://arxiv.org/abs/2502.02449

Confirm the licence at the link before relying on it.